React Developer / Engineer

Skills

Key technical and functional skills required for the role:

• React proficiency demonstrated through clear, well-built professional experience
• TypeScript or strong JavaScript fundamentals with a clear understanding of type safety and its importance in a team codebase
• Python proficiency: able to write backend services, REST APIs, and data manipulation scripts without significant support
• SQL working knowledge: able to query, filter, join, and aggregate data independently — including window functions and CTEs
• Ability to read a wireframe and translate it into working front-end code with attention to detail and interaction fidelity
• Clear communicator: able to ask for what you need, flag blockers early, and explain technical decisions in plain terms

Tech Stack

• Core Front-End React: components, hooks, props, state — able to build from scratch without a tutorial open
• TypeScript / JavaScript: type annotations, async patterns, browser fundamentals
• CSS: layout, responsive design, basic animation — comfort translating a design into code
• Testing: unit tests with Jest or equivalent; understanding of why tests exist, not just how to write them

Design & Prototyping

• Figma: able to read and navigate design files; bonus if you have created or annotated them
• Streamlit: rapid prototyping of data-backed surfaces and internal tooling
• Storybook: component documentation and isolated development (familiarity sufficient)

Backend & Data

• Python: FastAPI, Flask, or equivalent for building REST APIs and backend services
• SQL: SELECT, JOIN, GROUP BY, window functions, subqueries — comfortable querying a data warehouse independently
• REST API design: data contracts, request/response handling, error patterns
• Basic data pipeline awareness: able to read and understand how data flows from source to surface

Tooling & Environment

• Git: branching, pull requests, code review workflow in a team environment
• Cloud familiarity: GCP, AWS, or Azure
• CI/CD basics: able to run tests, read a build pipeline, and understand deployment concepts

Nice to Have Skills

• Familiarity with Figma: able to open a design file, understand layout and component structure, and identify changes between versions
• Streamlit experience: built an internal tool, data app, or prototype for a class project or personal use
• Storybook or component documentation experience
• MuleSoft, FastAPI, Flask, or equivalent: built and deployed a backend service, even in a class or personal project context
• Experience with cloud platforms: GCP, AWS, or Azure — even at a student or free-tier level
• Exposure to databases beyond SQL: document stores, key-value stores, or basic data warehouse concepts
• Exposure to design systems, component libraries, or any structured approach to front-end consistency

Responsibilities

• UI Development with full stack foundation: Work seamlessly across the entire technology stack with a primary focus on React on the front end while managing Python-based backend services, APIs, and data integrations. Own the entire lifecycle of what you ship across the full surface area of your work.
• Functional Prototyping: Develop working, functional prototypes using real, interactive code rather than static, click-through designs. Iterate rapidly to enable the team and end-users to interact with features early, allowing for quick directional shifts.
• Component Library Contribution: Contribute reusable components to a shared library that powers the entire portfolio of intelligence products. Learn, apply, and maintain strict design and coding conventions across the shared library. Document your work thoroughly and write robust tests to ensure all shared components are safe and stable for reuse.
• Design Collaboration: Partner directly with designers to read wireframes precisely, ask critical questions early, and identify implementation constraints before they lead to rework. Actively participate in design reviews, user feedback sessions, and strategic product decisions.
• Backend Services & Data Integration: Build and maintain the backend services and API layers that connect data pipelines, scoring models, and structured data assets to front-end surfaces. Write robust endpoints, define and manage clear data contracts, and proactively handle complex edge cases to elevate prototypes to dependable, field-ready systems.

Benefits

• Discretionary Annual Incentive
• Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans
• Family Support: Maternal & Parental Leaves
• Insurance Options: Auto & Home Insurance, Identity Theft Protection
• Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement
• Time Off: Vacation, Time Off, Sick Leave & Holidays
• Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing

Pay

Salary Range: $115,000 – $120,000 a year

Qualifications

Bachelor of Computer Science